###################################################################
####State Capacity, Insurgency, and Civil War - F&L Subnational####
###################################################################
library(MASS) 
library(pscl)
library(foreign)
library(Hmisc)
library(rgdal)
library(RArcInfo)
library(stargazer)
library(mvtnorm)
library(Zelig)
library(readstata13)
library(pROC)
library(robust)
library(cvTools)
library(boot)
library(maps)
library(mapdata)
library(doBy)
library(raster)
library(survival)
library(spduration)
library(DAMisc)
library(plyr)
library(DataCombine)


########################
###Create The Dataset###
########################
###Importing the main data
#set working directory to location of dta file
setwd("~/Google Drive/NSLC/Final Dofiles/")
#Import the data
main.data <- read.dta("ntlgrid.dta")

##########################
###CW Onset replication###
##########################
#Model 1
log.FL.1.o <- glm(onset ~ lnNL_sum + lagcivconflagtemp + loglagppp + loglagpop + mnt1 + logbdist1 +  
                  logross_oil_prod + nwstate + instability + lagp_polity2 + 
                  logcellarea + logttime + cluster(gid) + factor(ccode) +
               year93 + year94 + year95 + year96 + year97 +
               year98 + year99 + year00 + year01 + year02 + year03 + year04 +year05 +
               year06 + year07 + year08,
                data=main.data, family = "binomial")
summary(log.FL.1.o)
AIC(log.FL.1.o)
#Model 2
#subset the required data for ethnic war
main.data.eth <- main.data[ which(main.data$second > 0.04999),]
log.FL.2.o <- glm(onset ~ lnNL_sum + lagcivconflagtemp + loglagppp + loglagpop + mnt1 + logbdist1 +  
                    logross_oil_prod + nwstate + instability + lagp_polity2 + 
                    logcellarea + logttime + cluster(gid) + factor(ccode) +
               year93 + year94 + year95 + year96 + year97 +
               year98 + year99 + year00 + year01 + year02 + year03 + year04 +year05 +
               year06 + year07 + year08,
                  data=main.data.eth, family = "binomial")
summary(log.FL.2.o)
AIC(log.FL.2.o)
#Model 3
log.FL.3.o <- glm(onset ~ lnNL_sum + lagcivconflagtemp + loglagppp + loglagpop + mnt1 + logbdist1 +  
                    logross_oil_prod + nwstate + instability + 
                    laganocracy + lagpolbin + logcellarea + logttime + cluster(gid)  + factor(ccode) +
               year93 + year94 + year95 + year96 + year97 +
               year98 + year99 + year00 + year01 + year02 + year03 + year04 +year05 +
               year06 + year07 + year08,
                  data=main.data, family = "binomial")
summary(log.FL.3.o)
AIC(log.FL.3.o)

#Export to latex
stargazer(log.FL.1.o, log.FL.2.o, log.FL.3.o)



